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The way in which wherein deep learning and machine learning differ is in how each algorithm learns. "Deep" machine learning can use labeled datasets, generally known as supervised learning, to inform its algorithm, but it really doesn’t essentially require a labeled dataset. The deep learning approach can ingest unstructured data in its raw kind